{"id":"https://openalex.org/W4200439259","doi":"https://doi.org/10.1145/3500931.3501024","title":"Anylogic-based model prediction analysis of the impact of social distance obedience behavior on the spread of epidemics","display_name":"Anylogic-based model prediction analysis of the impact of social distance obedience behavior on the spread of epidemics","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4200439259","doi":"https://doi.org/10.1145/3500931.3501024"},"language":"en","primary_location":{"id":"doi:10.1145/3500931.3501024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086924865","display_name":"HanSong Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"HanSong Zou","raw_affiliation_strings":["Wuhan University of Technology, School of Management, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, School of Management, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039975598","display_name":"Haohua Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HaoHua Xia","raw_affiliation_strings":["Wuhan University of Technology, School of Automation, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, School of Automation, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027347209","display_name":"Jinghan Yuan","orcid":"https://orcid.org/0000-0003-4244-0250"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JingHan Yuan","raw_affiliation_strings":["Wuhan University of Technology, School of Computer Science, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, School of Computer Science, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086924865"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0896,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40812611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"545","last_page":"550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10167","display_name":"Influenza Virus Research Studies","score":0.9585999846458435,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/obedience","display_name":"Obedience","score":0.8006163239479065},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5848906636238098},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5688899755477905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4559008777141571},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4540662169456482},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.43974006175994873},{"id":"https://openalex.org/keywords/social-distance","display_name":"Social distance","score":0.43723630905151367},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.37121498584747314},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3677094280719757},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26541927456855774},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.24567803740501404},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2436503767967224},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.1857878565788269},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1669400930404663},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11940604448318481},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11104193329811096}],"concepts":[{"id":"https://openalex.org/C179958297","wikidata":"https://www.wikidata.org/wiki/Q1456974","display_name":"Obedience","level":2,"score":0.8006163239479065},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5848906636238098},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5688899755477905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4559008777141571},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4540662169456482},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.43974006175994873},{"id":"https://openalex.org/C172656115","wikidata":"https://www.wikidata.org/wiki/Q2142613","display_name":"Social distance","level":5,"score":0.43723630905151367},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.37121498584747314},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3677094280719757},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26541927456855774},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.24567803740501404},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2436503767967224},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.1857878565788269},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1669400930404663},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11940604448318481},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11104193329811096},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3500931.3501024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3005064183","https://openalex.org/W4232242564"],"related_works":["https://openalex.org/W4309296557","https://openalex.org/W4313037544","https://openalex.org/W3128397692","https://openalex.org/W3116669292","https://openalex.org/W3217606298","https://openalex.org/W4293212793","https://openalex.org/W2991484432","https://openalex.org/W246720332","https://openalex.org/W4285611496","https://openalex.org/W2268849259"],"abstract_inverted_index":{"The":[0,125],"outbreak":[1],"of":[2,17,20,39,49,62,88,111,134,144,153,160],"COVID-19":[3],"in":[4,79,165],"2020":[5],"has":[6],"had":[7],"a":[8,95,101,131,141],"serious":[9],"impact":[10],"on":[11,32,123],"society":[12,21],"and":[13,82,86,104,113,139,156],"drawn":[14],"the":[15,33,40,46,50,60,72,84,105,108,115,151,154,157],"attention":[16],"all":[18],"sectors":[19],"to":[22,44,52,57,70,119],"major":[23],"emergency":[24],"public":[25],"security":[26],"incidents.":[27],"So":[28],"this":[29],"study":[30],"focused":[31],"social":[34,63,132],"distance":[35,64,91,133],"which":[36],"is":[37,162],"one":[38],"most":[41],"effective":[42,164],"methods":[43],"reduce":[45],"transmission":[47],"rate":[48,87,99,143],"epidemic":[51],"conduct":[53],"research.":[54],"In":[55],"order":[56],"visually":[58],"describe":[59],"effect":[61,159],"obedience":[65],"behavior,":[66],"we":[67],"use":[68],"Anylogic":[69],"simulate":[71],"subway":[73],"station":[74],"with":[75],"high":[76],"pedestrian":[77],"traffic":[78],"daily":[80],"life":[81],"visualize":[83],"process":[85],"transmission.":[89],"Social":[90],"was":[92],"introduced":[93],"as":[94,100],"primary":[96],"variable,":[97,103],"mask-wearing":[98],"secondary":[102],"simulation":[106],"set":[107],"movement":[109],"trajectory":[110],"pedestrians":[112],"used":[114],"\"controlled":[116],"variable":[117],"method\"":[118],"analyze":[120],"their":[121],"effects":[122],"infection.":[124],"results":[126],"show":[127],"that":[128],"both":[129,161],"maintaining":[130],"more":[135,145,163],"than":[136,146],"1.25":[137],"meters":[138],"wearing":[140],"mask":[142],"70%":[147],"can":[148],"effectively":[149],"inhibit":[150],"spread":[152],"epidemic,":[155],"combined":[158],"infection":[166],"control.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
